Researchers Make Mount Etna Sing 81
The Interfacer writes "Predicting eruptions will become easier now scientists are using technology to translate the patterns in a volcano's behaviour into sound waves.
"The research project, which brings together experts from Europe and Latin America, digitally collects geophysical information on seismic movements before using data sonification to transform them into audible sound waves, which can then be 'scored' as melodies. The resulting 'music' is then analysed for patterns of behaviour and used to identify similarities in eruption dynamics and so predict future activity."
I for one (Score:2, Funny)
Re:I for one (Score:2)
Obligatory (Score:1)
Re:Obligatory (Score:5, Funny)
Yes, but only Caldera.
Re:Obligatory (Score:3, Funny)
big etna's burger world (Score:2)
oh right... it's a volcano.
Re:big etna's burger world (Score:2)
You're right, Bob. I'm sorry. What can I say? I'm a miserable, worthless hunk of slime. Here, I want you to take this brick and... just bash my head right in. Really, go ahead, please, just bash it right in.
For the Weird Al impaired: the funniest movie ever made [imdb.com]
Re:big etna's burger world (Score:1)
Not that I have ever seen it, I just feel like hating on it anyway.
Re:big etna's burger world (Score:2)
Re:big etna's burger world (Score:1)
gee whiz (Score:1)
Re:gee whiz (Score:1)
1) It is likely that this COULD be
Re:gee whiz (Score:2)
...and next up on the Mt. Etna hit parade... (Score:5, Funny)
Re:...and next up on the Mt. Etna hit parade... (Score:1)
But can it kill a yak? (Score:1)
Dirk Gently (Score:4, Interesting)
Having listened to the Etna sounds though its not quite Mozart. Both the audios are at the bottom of the article and not slashdotted yet. It'd be cool if they could explain what was happening at what points in the melodies. Also sounds a little like a 3-year old smashing a keyboard.
Re:Dirk Gently (Score:3, Funny)
Let's just say that when you hear Asus you'd better C# and run or you'll Bb.
KFG
Re:Dirk Gently (Score:3, Funny)
Uncovered by the research: When the volcano is about to explode, it sounds like Yoko Ono.
Re:Dirk Gently (Score:2)
Pele is sensitive about Her musical abilities, and she is going to kick your ass.
Fear the gong sound (Score:1)
Or maybe a bell. Ask not for whom the bell tolls...
Grant sucker-uppers? (Score:5, Insightful)
Re:Grant sucker-uppers? (Score:5, Interesting)
For example, if you just look at the wav spectrum or frequency spectrum of a piece of music, it's difficult to tell who was the composer. However, if you re-package the information into sounds, then it becomes much easier to analyse or identify, at least by humans.
Of course, this is the reverse of what they are doing, i.e. their original data is not sound-based, but the idea is similar, they are hoping that the volcano's data (which is a wave form of sorts) is easier to process in the form of sounds by human ears than by looking at the graphs.
Re:Grant sucker-uppers? (Score:1)
Re:Grant sucker-uppers? (Score:2, Insightful)
The problem is that most pattern analysis algorithms are computationally expensive. Usually on the order of 2^n computations, unless the researcher is particularly clever and managed to use domain specific knowledge to speed the algorithm up. Reducing your data set by a few orders of magnitude can be the difference between running an algorithm in a day and running it until you're dead.
The up-shot is that instead of making the scientist interpret musical patterns for insights into volcanos (or whatever th
Intervals (Score:2)
Obviously not a well-tempered mountain. Fb is normally rendered as "E" and has been since Bach's time.
Re:Grant sucker-uppers? (Score:2)
If the mountain CAN be predicted, the output of that mountain by necessity cannot be random and there has to be a "personality". There has to be something PREDICTABLE otherwise this entire exercise is for naught.
So converting to sound may seem silly, but what if it happens to provide the insight we need to determine how to make valid predictions?
I repeat: Converting to sound seems silly, but it is merely transforming the data from one difficult to understand space to one
Your tax dollars at work (Score:3, Interesting)
Re:Your tax dollars at work (Score:2)
Our ears happen to be immense parallel processors, with millions of hairs tuned to different frequencies, all operating simultaneousy.
Our eyes are similar, the problem is that the graphs/data is not presented in a way amenable to using our eyes rather than our brains. Perhaps if you take the data and transform it into a 2D false color animated movie...
Again, if it works, it works. Save the vilification for later.
Re:Grant sucker-uppers? (Score:1)
Re:Grant sucker-uppers? (Score:1)
Re:Grant sucker-uppers? (Score:1)
Because it's linear data in the time domain.
'... after all, most folks' eyes are a good deal more sensitive to data than their ears.'
Not so in the time domain; the eye can barely discriminate down to 1/16th of a second (e.g.: movies run (or did) at 24 frames per second).
'Music' is superfluous (Score:2)
--
I now have two 120-byte sig spaces. Mod me up and I'll tell you how to get your second sig space.
Re:'Music' is superfluous (Score:1)
KFG
Re:'Music' is superfluous (Score:2)
Would you say the same about a histogram or a scatterplot? Visualisation is widely accepted as a way of discovering and demonstrating patterns in data - the patterns are still "there" if you don't visualise the data, but you might never know it. The same applies to sonification; the only difference is that visualisation is universally accepted by the scientific community,
Re:'Music' is superfluous (Score:2)
Or let us see you try to "recognize" the Mona Lisa using a 2 dimensional grid of hex values. It's still the Mona Lisa, but I bet you couldn't see it if you tried.
World Domination! (Score:2)
And it said.... (Score:1)
Volcanic Chambers (Score:1)
Re:Volcanic Chambers (Score:2)
Every time his aides present Bush with a funding bill for anything in Yellowstone, he launches into a 45-minute description (with voices!) of his favorite Yogi Bear episodes. Such legislation rarely makes it to his desk anymore.
Re:Volcanic Chambers (Score:2)
Re:Volcanic Chambers (Score:1, Funny)
Shhhhhh!!!! The president doesn't know that! It'll break his heart if he finds out!
Another example of reinventing the wheel, poorly. (Score:2, Interesting)
They must be using some software package originally written for audio guys, and are unaware that the "conversion" they are talking about is conceptually nothing more than editing the sampling rate constant in the datafile.
I am never surprised at the dearth of researchers competent in data an
Re:Another example of reinventing the wheel, poorl (Score:1)
They presumably mapped the ELF input to musical tones, not just changed the sampling rate. That represents significant data squashing or smoothing, which is a good thing for several reasons.
In any event, they're doing predictive time-domain analysis. The state of the art in that field is wavelet analysis, though the Kalman filter seems quite a bit of use in applications. These guys are surely aware of what a Fourier analysis is, what it isn't, and why this is different.
Re:Another example of reinventing the wheel, poorl (Score:1)
Actually I should have gone further, and pointed out how it's actually very destructive to the original data due to it being a convolution with many presumptive kernels (and therefore NOT smoothing). .
Re:Another example of reinventing the wheel, poorl (Score:1)
What in the world is the point?
I suppose it's to be able to better feed it to one of the most powerful processors for pattern recognition on linear data, available at this time. That would happen to be the human ear. Which in fact is so surprisingly capable that certain competing systems [slashdot.org] seem pretty laughable in comparison. It remains to be seen, whether this conversion will truely turn out to be helpful, but it's quite definitely worth a try.
Re:Another example of reinventing the wheel, poorl (Score:1)
Unintened consequences (Score:1)
Prior art (Score:3, Interesting)
And incidentally DANTE seems oblivious that the Dante project by NASA was a multilegged robot descending by rope into a volcanic crater.
I don't mean to overshadow their scientific achievements but lack of memory by networked prdroids bugs me.
Re:Prior art (Score:2)
Re:Prior art (Score:2)
Yes, you may be right. The artist was using StudioMAX software and was interested in making earthquake-like sounds based on the data but I do not have data to compare; obviously the two parties had differing goals but if the end user is a human the end results might be closer than one would expect. It would be interesting to see though.
A mountain singing, you say? (Score:1)
Cheap Knockoff (Score:1)
besides being neat... (Score:2)
Re:besides being neat... (Score:1)
Here is a sample recording (Score:1)
WMA SOUND SAMPLE [amazon.com]
or like this REAL PLAYER SAMPLE [amazon.com]
Researchers Make Aunt Etna Sing (Score:1)
IIs the brain state of the art signal processor? (Score:1)
Assuming the brain is the best DSP around, at least when it comes to pattern recognition, it is a choice that at assures you a job as well.
Only problem, how to interface the brain to all the seismic data etc. Well, the brain has two hi-speed inputs: vision (100Mb/s) and hearing (10Mb/s)
The seismic data is less than 1Mb/s so it is a ok match.
Now, just create the interface. T
I never wanted to be a volcano anyway (Score:1)
Re:I never wanted to be a volcano anyway (Score:1)
Oh he's a lumberjack and he's OK,
He sleeps all night and he works all day!
This Sounds Totally Stupid (Score:2)
I mean this is like having a press release for the pie chart talking about how it is going to revolutionize research in economics.
Researchers Make Mount Etna Sing (Score:2)
Yes, but can they make it dance.
Re:Researchers Make Mount Etna Sing (Score:1)
And they are recruiting Network Engineers ... (Score:2, Informative)
Cheers.
Single largest CO2 emitter in the world (Score:1)
Re:Single largest CO2 emitter in the world (Score:1)
Re:Single largest CO2 emitter in the world (Score:2)